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The k-ary n-cube which has an n-dimensional grid structure with k nodes in each dimension has been a popular topology for interconnection networks. Analytical models for k-ary n-cubes have been widely reported under the assumptions that the message destinations are uniformly distributed over all network nodes and the message arrivals follow a non-bursty Poisson process. Recent studies have convincingly...
Background traffic has a significant impact on the behavior of network services and protocols. However, a detailed model of the background traffic can be extremely time consuming in simulation. In this paper, we extend our previous hybrid model that combines fluid and packet-oriented characterization of network traffic for a realistic representation of the background traffic on Internet. In particular,...
In this paper we apply the nonlinear time series prediction method to the traffic measurements data. Based on the phase space reconstruction, the support vector machine prediction method is used to predict the traffic measurements data, and the neighbor point selection method is used to choose the number of nearest neighbor points for the support vector machine regression model. The experiment results...
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